All roles

Machine Learning·Bangalore, IN

- BHIVE Workspace, AKR Tech Park (Kudlu Gate)
- Full-time
- Hybrid·5+ years (production ML deployment)

ML Engineer Mid–Senior

Own the matching, ranking and similarity models powering autonomous entity resolution — and the MLOps that keep them honest at 10M+ records / day.

Entity ResolutionRankingEmbeddingsMLOpsPyTorch

Team

Machine Learning

Location

Bangalore, IN

- BHIVE Workspace, AKR Tech Park (Kudlu Gate)

Experience 5+ years (production ML deployment)

Tech stack

- PyTorch
- Hugging Face
- Spark
- Databricks
- Snowflake
- MLflow
- W&B;
- DVC
- LoRA
- QLoRA
- PEFT
- AWS SageMaker
- GCP Vertex AI

Apply for this role

What you’ll do

- 01 Build and operate matching, ranking and classification models at scale
- 02 Design robust feature pipelines on streaming + batch data (Spark, Databricks)
- 03 Train and serve embedding models for high-recall blocking and similarity scoring
- 04 Implement explainable score-calibration and confidence-thresholding for steward workflows
- 05 Build MLOps infrastructure: experiment tracking, model registry, automated evaluation, deploy pipelines




- 06 Establish drift detection and continuous-evaluation to surface degradation before customers do
- 07 Collaborate with the AI Engineer on retrieval quality and rerankers
- 08 Partner with Data Engineering on data contracts and quality

What we’re looking for
- → 5+ years building and operating ML systems in production
- → Strong PyTorch skills — training, fine-tuning and inference optimisation
- → Hands-on experience with one or more of: Spark, Flink, Ray, Databricks, Snowflake
- → Comfortable with SQL at scale and the Python ML stack
- → Robust fundamentals in supervised ML, evaluation metrics and experimentation
- → Proficiency with Hugging Face Transformers, PEFT, Datasets, Evaluate
- → Working knowledge of MLOps: MLflow, Weights & Biases, DVC or equivalent
- → Practical experience with model optimisation: quantisation, distillation, batched inference

Nice to have
- - MDM / entity-resolution domain experience

- - Graph ML or recommendation-system background

- - Experience deploying models on AWS SageMaker, GCP Vertex AI or equivalent

📌 ML Engineer · Mid–Senior (Anekal)
🏢 Think Right Advisory Services
📍 Anekal